Talent supply appendix

Where the workforce might come from

This page maps official counts, feeder disciplines, visible institutions, and city supply-demand joins. It treats broad science and engineering totals as upstream context only. It does not claim exact tool-specific graduate output or university-to-firm placement.

01Official records

What official data can count

Public records are strong at counting broad education categories and at showing visible institutional presence. Those records are useful for the size and shape of the upstream pool.

Broad science and engineering entrants and enrolment.
Discipline catalogues and degree categories.
Doctoral-authorization distribution proxies by discipline.
Visible schools, departments, courses, labs, and practice-base records.
City-level policy, shortage, firm, and park records that show demand context.

02Official records

What official data cannot isolate

Tooling-relevant work is too specific to read directly from broad science and engineering records. Placement, customer-site support, and tool-family absorption need separate source records.

Exact plasma-etch, ALD, wet-clean, field-service, or metrology graduate output.
University-to-firm placement into AMEC, Piotech, NAURA, ACM Research Shanghai, SMEE, or Kingsemi.
Whether a broad engineering or science count converts into tool-specific production support.
Graduate destination shares by city, tool family, firm, or customer-site role.
Current headcount from doctoral-authorization records.

03Counts

Official counts and distribution proxies

These figures come from the public-source talent supply appendix. The first table is broad official education scale. The second is an institutional distribution proxy, not current graduate headcount.

Metric	2023 value	Caveat
Engineering postgraduate entrants Broad engineering · postgraduate	453,870	Broad engineering count; not tooling-specific.
Engineering postgraduate enrolment Broad engineering · postgraduate	1,333,008	Stock, not output; not tooling-specific.
Science postgraduate entrants Broad science · postgraduate	99,988	Broad science count; not a physics or chemistry subfield count.
Science postgraduate enrolment Broad science · postgraduate	308,073	Stock, not output; not tooling-specific.
Engineering undergraduate entrants Broad engineering · undergraduate	1,662,036	Broad engineering count; not tooling-specific.
Engineering undergraduate enrolment Broad engineering · undergraduate	6,742,664	Broad engineering stock; not tooling-specific.
Science undergraduate entrants Broad science · undergraduate	337,668	Broad science count; not a semiconductor-tooling count.
Science undergraduate enrolment Broad science · undergraduate	1,314,583	Broad science stock; not a semiconductor-tooling count.

Doctoral-authorization proxies

Physics

Institutional distribution proxy, not current graduate headcount.

64

Chemistry

Institutional distribution proxy, not current graduate headcount.

69

Mechanical Engineering

Institutional distribution proxy, not current graduate headcount.

93

Optical Engineering

Institutional distribution proxy, not current graduate headcount.

39

Instrument Science and Technology

Institutional distribution proxy, not current graduate headcount.

32

Materials Science and Engineering

Institutional distribution proxy, not current graduate headcount.

93

Electronic Science and Technology

Institutional distribution proxy, not current graduate headcount.

52

Control Science and Engineering

Institutional distribution proxy, not current graduate headcount.

67

Chemical Engineering and Technology

Institutional distribution proxy, not current graduate headcount.

54

Source records: public-source talent supply appendix. Broad counts are not used as semiconductor-tooling counts.

04Disciplines

Feeder disciplines by tool family

Tooling roles are combinations of physics, chemistry, materials, precision mechanics, optics, controls, software, and field support. The mapping below shows plausible feeder disciplines without converting them into exact output.

Etch, clean, and strip

Plausible feeders

Physics, Chemistry, Materials Science and Engineering, Chemical Engineering and Technology, Control Science and Engineering.

Role families

Plasma, wet chemistry, surface reactions, chamber materials, process engineering, tool control.

This is a feeder-discipline map, not a count of etch or clean-tool graduates.

Deposition

Plausible feeders

Materials Science and Engineering, Chemistry, Chemical Engineering and Technology, Mechanical Engineering, Control Science and Engineering.

Role families

Thin films, precursor chemistry, vacuum and gas delivery, thermal systems, chamber control.

Broad materials and chemical-engineering records cannot be converted into deposition output.

Metrology and inspection

Plausible feeders

Optical Engineering, Instrument Science and Technology, Physics, Electronic Science and Technology, Computer Science and Technology.

Role families

Optics, sensors, calibration, image algorithms, inspection software, measurement systems.

Public records do not separate semiconductor inspection from broader optical, display, and electronic-test demand.

Lithography sidebar

Plausible feeders

Optical Engineering, Instrument Science and Technology, Mechanical Engineering, Control Science and Engineering, Physics.

Role families

Illumination, alignment, precision stages, control loops, optics, metrology-adjacent support.

This page treats lithography as adjacent context, not as proof of domestic lithography capability.

Open the MOE-coded discipline scaffold

MOE code	Discipline	Segments	Source note
1401	Integrated Circuit Science and Engineering 集成电路科学与工程	Etch, clean, and stripDepositionMetrology and inspectionLithography sidebar	Best single cross-disciplinary anchor for semiconductor device, process, equipment, and integration training.
0702	Physics 物理学	Etch, clean, and stripMetrology and inspectionLithography sidebar	Feeds plasma physics, optics, surface interactions, sensing physics, and measurement models.
0703	Chemistry 化学	Etch, clean, and stripDeposition	Core for wet clean, strip chemistry, precursor chemistry, surface reactions, and contamination control.
0802	Mechanical Engineering 机械工程	DepositionMetrology and inspectionLithography sidebar	Needed for chambers, stages, thermal structures, vacuum hardware, and precision assemblies.
0803	Optical Engineering 光学工程	Metrology and inspectionLithography sidebar	Most direct academic source for imaging optics, illumination design, alignment, and optical metrology.
0804	Instrument Science and Technology 仪器科学与技术	Metrology and inspectionLithography sidebar	Fits measurement systems, calibration, sensors, automation, and precision instrumentation.
0805	Materials Science and Engineering 材料科学与工程	DepositionEtch, clean, and strip	Important for films, chamber materials, corrosion, residues, and film reliability.
0809	Electronic Science and Technology 电子科学与技术	Etch, clean, and stripDepositionMetrology and inspectionLithography sidebar	Links devices, microelectronics, process, and equipment understanding.
0811	Control Science and Engineering 控制科学与工程	Metrology and inspectionLithography sidebarEtch, clean, and stripDeposition	Critical for equipment automation, stage control, RF control loops, and stable tool behavior.
0812	Computer Science and Technology 计算机科学与技术	Metrology and inspectionLithography sidebar	Relevant for defect classification, image software, SPC integration, simulation, and tool software.
0817	Chemical Engineering and Technology 化学工程与技术	DepositionEtch, clean, and strip	Useful for gas delivery, reaction engineering, process scale-up, and wet-process systems.
0854	Electronic Information 电子信息	Etch, clean, and stripDepositionMetrology and inspectionLithography sidebar	Major applied-engineering pipeline for integrated systems, microelectronics-adjacent implementation, and tool software/control.
0855	Mechanical Engineering 机械	DepositionMetrology and inspectionLithography sidebar	Strong applied pipeline for equipment design, assembly, vacuum hardware, and precision mechatronics.
0856	Materials and Chemical Engineering 材料与化工	DepositionEtch, clean, and strip	Strong applied pipeline for films, chemistries, cleaning, precursors, and process engineering.

05Institutions

Institutions by role family

These are visible feeder or plausible feeder records from the appendix. They are not university rankings, and they are not placement claims.

Beijing, Beijing

Tsinghua University

IC manufacturing, specialized equipment/materials, and precision/instrument base.

Role families

Precision instruments, Metrology, Controls

Visible feeder signal only; this does not measure tool-specific graduate output or firm placement.

Beijing, Beijing

Peking University

Physics, chemistry, materials, and microelectronics base.

Role families

Process science, Materials, Device/process bridge

Plausible feeder signal only; no university-to-toolmaker placement claim.

Beijing, Beijing

Beihang University

Optics, instruments, metrology, controls, and precision systems.

Role families

Optics, Controls, Precision mechanics

Visible feeder signal only; not a count of semiconductor-equipment graduates.

Beijing, Beijing

Beijing Institute of Technology

Instrumentation, optical-electronic measurement, controls, and mechanics.

Role families

Measurement systems, Automation, Precision mechanics

Plausible feeder signal only; no claim of direct hiring into NAURA, AMEC, or other firms.

Beijing, Beijing

Beijing University of Chemical Technology

Chemical engineering, materials, wet chemistry, and thin films.

Role families

Wet chemistry, Thin films, Process engineering

Plausible feeder signal only; broad chemistry and chemical-engineering records are not tooling headcounts.

Tianjin, Tianjin

Tianjin University

Precision instruments and optoelectronics, with metrology relevance.

Role families

Metrology, Optoelectronics, Precision testing

Visible feeder signal only; school profile records do not identify downstream employers.

Open all curated institution records

Institution	Visible program	Role families	Source records	Caveat
Tsinghua University Beijing, Beijing · High	IC manufacturing, specialized equipment/materials, and precision/instrument base.	Precision instruments, Metrology, Controls	CN_UNI_THU_DPI; public-source talent supply appendix	Visible feeder signal only; this does not measure tool-specific graduate output or firm placement.
Peking University Beijing, Beijing · Medium	Physics, chemistry, materials, and microelectronics base.	Process science, Materials, Device/process bridge	public-source talent supply appendix	Plausible feeder signal only; no university-to-toolmaker placement claim.
Beihang University Beijing, Beijing · Medium	Optics, instruments, metrology, controls, and precision systems.	Optics, Controls, Precision mechanics	public-source talent supply appendix	Visible feeder signal only; not a count of semiconductor-equipment graduates.
Beijing Institute of Technology Beijing, Beijing · Medium	Instrumentation, optical-electronic measurement, controls, and mechanics.	Measurement systems, Automation, Precision mechanics	public-source talent supply appendix	Plausible feeder signal only; no claim of direct hiring into NAURA, AMEC, or other firms.
Beijing University of Chemical Technology Beijing, Beijing · Medium	Chemical engineering, materials, wet chemistry, and thin films.	Wet chemistry, Thin films, Process engineering	public-source talent supply appendix	Plausible feeder signal only; broad chemistry and chemical-engineering records are not tooling headcounts.
Tianjin University Tianjin, Tianjin · High	Precision instruments and optoelectronics, with metrology relevance.	Metrology, Optoelectronics, Precision testing	CN_UNI_TJU_PRECISION; public-source talent supply appendix	Visible feeder signal only; school profile records do not identify downstream employers.
University of Science and Technology of China Hefei, Anhui · Medium	Optics, instruments, metrology, controls, physics, and materials.	Optics, Measurement, Process physics	public-source talent supply appendix	Plausible feeder signal only; it should not be read as tool-specific graduate output.
Huazhong University of Science and Technology Wuhan, Hubei · Medium	Optics, instruments, metrology, controls, and manufacturing systems.	Optics, Metrology, Manufacturing systems	public-source talent supply appendix	Visible feeder signal only; public records do not isolate front-end equipment placements.
Shanghai Jiao Tong University Shanghai, Shanghai · High	IC manufacturing process and equipment, including AMEC-linked course evidence.	Process equipment, Device/process bridge, Manufacturing engineering	public-source talent supply appendix	Public-source link only; course evidence is not a placement or output measure.
Fudan University Shanghai, Shanghai · High	Microelectronics, process-adjacent IC training, and micro/nano systems.	Process integration, Device/process bridge, Tool software context	CN_UNI_FDU_ICMNE; public-source talent supply appendix	Visible feeder signal only; no firm-specific absorption claim.
East China University of Science and Technology Shanghai, Shanghai · Medium	Chemical engineering, materials, wet chemistry, and thin films.	Wet chemistry, Thin films, Process chemistry	public-source talent supply appendix	Plausible feeder signal only; broad chemical-engineering strength is not a semiconductor-tooling count.
Southeast University Nanjing, Jiangsu · Medium	Deposition, patterning, EUV/lithography-adjacent coursework, and Nanjing/Wuxi practice-base signal.	Patterning-adjacent process, Thin films, Practice-base training	public-source talent supply appendix	Supply-demand join only; it does not separate equipment hiring from fabs or packaging.
Zhejiang University Hangzhou, Zhejiang · High	Optics, instruments, metrology, controls, and optical engineering.	Optics, Metrology, Control systems	CN_UNI_ZJU_OPTICS; public-source talent supply appendix	Visible feeder signal only; no direct toolmaker placement is inferred.
Shenyang University of Technology Shenyang, Liaoning · Medium	Instrumentation, optics, precision mechanics, and control near Piotech/Kingsemi.	Instrumentation, Precision mechanics, Controls	public-source talent supply appendix	Useful local proximity signal only; no institution-by-institution placement data.

06Geography

City supply-demand joins

A city join is useful when visible feeder institutions sit near firms, parks, or public shortage signals. It is still a public evidence signal, not a labor-flow measurement.

Beijing

Visible supply: Thick university supply across instruments, optics, controls, IC, chemistry, and materials.
Nearby absorption: NAURA, Beijing E-Town IC chain, equipment, parts, and materials cluster signals.
Demand signal: Public records show local semiconductor-equipment and IC-chain demand in Beijing E-Town.
Can infer: A supply-demand join is plausible for equipment, materials, process, metrology, and support roles.
Cannot infer: Cannot infer actual graduates into etch, deposition, metrology, or named firms.

Source records: CN_PARK_BEIJING_ETOWN_IC; CN_FIRM_NAURA; public-source talent supply appendix

Shanghai

Visible supply: Visible university supply in microelectronics, IC process, chemical engineering, materials, and adjacent optics.
Nearby absorption: Clearest mixed cluster across etch, clean, metrology, and lithography-adjacent firms.
Demand signal: Shanghai shortage and Lingang records point to IC, equipment, materials, packaging, and testing activity.
Can infer: Shanghai is the strongest public-source supply-demand join for multiple tooling role families.
Cannot infer: Cannot infer graduate destination shares by firm or tool segment.

Source records: CN_SHORT_SH_DIR_2020; CN_PARK_ORIENTAL_CHIP_PORT; CN_FIRM_AMEC; CN_FIRM_ACM_SH; CN_FIRM_SMEE; public-source talent supply appendix

Wuhan

Visible supply: Optics, inspection, test/measurement, optoelectronics, controls, and manufacturing-system supply signals.
Nearby absorption: Optoelectronics, inspection, and broader electronic-test demand are visible in the regional industrial base.
Demand signal: Public records make Wuhan relevant for optics and measurement-adjacent roles.
Can infer: A plausible feeder base exists for metrology, inspection, optics, controls, and test roles.
Cannot infer: Cannot isolate front-end equipment demand from display, telecom, and broader electronic-test demand.

Source records: public-source talent supply appendix

Shenzhen

Visible supply: Metrology/inspection, test instrumentation, optical-electronic measurement, and semiconductor-service role signals.
Nearby absorption: Strong semiconductor and electronics services market with official shortage records.
Demand signal: Official semiconductor and IC high-end shortage lists identify role pressure in Shenzhen.
Can infer: The city is a plausible demand-side join for metrology, test, optical-electronic measurement, and service roles.
Cannot infer: Less visible front-end etch/deposition OEM concentration than Beijing, Shanghai, or Shenyang.

Source records: CN_SHORT_SZ_SEMI_2024; CN_SHORT_BAOAN_2025; public-source talent supply appendix

Shenyang

Visible supply: Local instrumentation, materials, mechanics, optics, and control education signals.
Nearby absorption: Piotech and Kingsemi create a direct local equipment-demand context for deposition and clean/develop tools.
Demand signal: Public firm records and local proximity make the supply-demand join unusually concrete.
Can infer: There is a direct public-source link between local technical education themes and nearby equipment firms.
Cannot infer: No institution-by-institution placement data.

Source records: CN_FIRM_PIOTECH; public-source talent supply appendix

Nanjing/Wuxi

Visible supply: Broad IC talent market plus manufacturing-oriented coursework and practice-base signals.
Nearby absorption: Yangtze River Delta fabs, equipment-adjacent activity, packaging, and power-semiconductor markets.
Demand signal: Regional IC cluster and practice-base records make this a plausible supply-demand join.
Can infer: The corridor can plausibly support process, equipment, thin-film, patterning-adjacent, and manufacturing roles.
Cannot infer: Cannot separate equipment employment from fabs, packaging, or power semiconductors.

Source records: public-source talent supply appendix

07Global context

Global context

Other economies also treat semiconductor talent as a constraint, but public metrics differ. Use these as context, not as direct comparisons.

United States

Industry and policy sources frame semiconductor engineers and technicians as a national shortage risk.

Useful for demand-side language and workforce categories, not as a like-for-like benchmark against PRC education counts.

Japan

Public discussion emphasizes rebuilding semiconductor manufacturing and supplier talent after a long capacity trough.

Useful as context for mature-tool and supplier know-how, not as a direct comparator to Chinese university output.

South Korea

Public records and industry commentary treat semiconductor talent as a constraint for fabs, memory, logic, and suppliers.

Useful for understanding cluster absorption pressure, not for ranking against PRC feeder institutions.

Taiwan

The talent issue is often described through foundry, equipment-support, process, and technician bottlenecks.

Useful for role-family context around process integration and field support, not as a scoreboard item.

Europe

Policy and industry sources frame semiconductor skills as a bottleneck across fabs, research institutes, and equipment ecosystems.

Useful for comparator caveats because public metrics vary by country, program, and funding scheme.

08Verification

What remains to verify

The appendix makes the supply question more concrete, but several claims should stay in the editorial layer until they are manually checked against source records.

Ledger source IDs for appendix-only institution and doctoral-authorization rows before promoting them into raw observations.
Institution pages or official programme records for each visible feeder claim.
Role-level hiring or placement records before any firm-absorption claim.
City-level demand records that separate equipment roles from fabs, packaging, display, telecom, and electronic-test demand.
Manual review of observations.csv before any staged rows become source-checked records.